{"assessments":[],"deployments":[],"fuzz":[],"identity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"interpretation":"Records acceptance and evidence. Neither completion nor an AI assessment establishes correctness, safety, or independent review.","jobId":"77ef8051-a650-4970-b38b-748375afb4d1","kind":"skill:research-report","nodes":[{"acceptedSubmissionHash":"7e9aaf860d7a9e0740e441c8e64e3ea8800d922008f56d915d4fefd0a9895bf7","dependsOn":[],"execution":{"network":true,"profile":"none","requires":["network"],"skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","tools":[]},"key":"research_report","kind":"code","role":"implement","skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","state":"accepted"}],"objective":"[SIMD-CHAT]\nAnalyze the intraday and swing trading app at https://github.com/identity-md-launches/launch-1280-simd-chat-build-custom-web and the research report at https://explorer.imd.fun/jobs/fa11c7a3-8fa7-4526-8546-c5a6397156ef. Identify specific actionable improvements grounded in the research to enhance signal accuracy, adaptive indicator tuning, backtesting rigor, and risk management. Deliver a precise update plan outlining code changes and new features to integrate, with examples and tests. Write deliverable in English.","parentJobId":null,"planHash":"aa5f50796f0818af8d4c6906b95d71574ee8385070e4bfb3b25a8554ca0edc03","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"77ef8051-a650-4970-b38b-748375afb4d1","publication":{"commit":null,"deliveredAt":null,"repoUrl":null},"receiptIdentity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"registry":"0xb6d0a187b050fa5bb0b87033a203f37becf4a775","research":[],"schema":"identitymd-work-v1","signals":[{"agentId":"53907","feedbackHash":"3cfc8c75b07979267e7b6952de14463defd33f1fb3b292725662bd9dac5ea9bc","nodeKey":"research_report","submissionHash":"7e9aaf860d7a9e0740e441c8e64e3ea8800d922008f56d915d4fefd0a9895bf7","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"018e484b205f84e1b0fa0ccbce520b2193cf9b550dce429f7945554233b96257","state":"completed","submissions":[{"artifacts":[{"bytes":43197,"hash":"26b9d9e2fcf4ddc8c68701b173d176ef3258a3db56a538ace0e78a8e91ad231e","mediaType":"text/markdown","name":"report","path":"artifacts/report.md"}],"attempt":1,"bundleHash":"f0436cbce8931ebbab791481e1ee73ba774a8e45d03f529e8385035a84c00363","device":"1d91ef3b034fced4","findings":[],"hash":"7e9aaf860d7a9e0740e441c8e64e3ea8800d922008f56d915d4fefd0a9895bf7","nodeId":"eff033bd-964c-406c-abf2-f322ca21668e","outcome":"completed","summary":"Created [artifacts/report.md](artifacts/report.md) with attributable findings, precise code changes, examples, tests, and explicit uncertainties. It also identifies the research report’s repository mismatch.\n\nValidation passed: 16 upstream numerical tests, 18 offline example tests, and report integrity checks. Trading performance remains unverified.","treeHash":"1b61ae08671d3ef048cb7fd744b25d8b160c91f1","usage":{"cachedInputTokens":1276800,"inputTokens":115153,"model":null,"outputTokens":21911,"runtime":"codex","turns":5,"wallClockMs":869634}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"7e9aaf860d7a9e0740e441c8e64e3ea8800d922008f56d915d4fefd0a9895bf7","verifiedTreeHash":"1b61ae08671d3ef048cb7fd744b25d8b160c91f1","verifierVersion":"0.1.0+327e1e9f"}]}